Optimization of combining of self organizing maps and growing neural gas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098908" target="_blank" >RIV/61989100:27240/16:86098908 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86098908
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_25" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45378-1_25" target="_blank" >10.1007/978-3-319-45378-1_25</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of combining of self organizing maps and growing neural gas
Original language description
The paper deals with the issue of high dimensional data clustering. One possible way to cluster this kind of data is based on Artificial Neural Networks (ANN) such as Growing Neural Gas (GNG) or Self Organizing Maps (SOM). Parallel modification, Growing Neural Gas with pre-processing by Self Organizing Maps, and its implementation on the HPC cluster is presented in the paper. Some experimental results are also presented. We focus on effective preprocessing for GNG. The clustering is realized on the output layer of SOM and the data for GNG are distributed into parallel processes. (C) IFIP International Federation for Information Processing 2016.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-319-45377-4
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
277-286
Publisher name
Springer Verlag
Place of publication
Vilnius
Event location
Vilnius, Lithuania
Event date
Sep 14, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000388720000025